Machine Learning and Applications to Physics

Speaker : Navin Manaswi

2018-09-24

Abstract :

This talk will be on deep learning and applications to physics, focusing on semantic segmentation in particle physics and other areas of physics. He would like to share deep learning practices in the industry and highlight physics problems that can be solving with help of machine learning and deep learning.

About the speaker:

Professionally, Navin Manaswi is Deep Learning- AI Architect for SymphonyAI, one of the largest AI startups. He has been developing AI solutions/products with the use of cutting edge technologies and sciences related to artificial intelligence for many years. Having worked for consulting companies in Malaysia, Singapore and the Dubai Smart City project, he has developed a rare skill of delivering end-to-end data science solutions. He has been building solutions for video intelligence, document intelligence and human-like chatbots in his own startup in 2017. He loves to democratize deep learning through blogging, webinars, workshops and seminars. He has written a book on Machine Learning (see https://www.amazon.in/Deep-Learning-Applications-Using-Python/dp/1484235150/ref=sr_1_2?s=books&ie=UTF8&qid=1537442290&sr=1-2&refinements=p_27%3ANavin+Manaswi).